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from fastai.vision.all import * | |
import gradio as gr | |
learn = load_learner('model.pkl') | |
breeds = tuple(learn.dls.vocab) | |
def classify_image(image): | |
pred,idx,probs = learn.predict(image) | |
return dict(zip(breeds,map(float,probs))) | |
image = gr.inputs.Image(shape=(192,192)) | |
label = gr.outputs.Label() | |
exemples = ['chihuahua.jpg','german_shepard.jpg'] | |
intf = gr.Interface(fn = classify_image,inputs=image,outputs=label,exemples=exemples) | |
intf.launch(inline=False) |